PayPal is looking for a Product Data Scientist to help generate insights by mining PayPal's rich data, develop a deep understanding of the Consumer Experience, Payment businesses, and site functionality, and strengthen analytic, leadership, and presentation skills.
Requirements
- Proficiency with database, spreadsheet, and statistical tools
- Advanced SQL experience, preferably with Teradata systems, data mining, and Big Query analytics (Google Cloud).
- Expertise in stitching together findings to convey coherent insights
- Experience analyzing very large, complex, multi-dimensional data sets.
- Experience with one or multiple of the following will be highly desirable; Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, BigQuery
- Ability to solve problems analytically and create actionable recommendations
- Advanced ability to use reporting tools like Tableau and/or Excel to share analysis
Responsibilities
- Develop and implement data science models and algorithms.
- Analyze and interpret complex data sets.
- Ensure data quality and integrity.
- Optimize data processes for efficiency and performance.
- Perform advanced statistical analysis and reporting.
- Perform deep-dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations
- Identify key metrics and drive the building of exec-facing dashboards to track the progress of the business and its highest-priority initiatives
Other
- Experience in managing/mentoring a small team would be a plus
- Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
- 5 years of professional experience in an analytical role; Experience managing a small team of analysts will be a plus
- Work experience in the payments, eCommerce, or financial services industry is a plus
- Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership
